




"""simple docstring"""





import argparse
import os
import re


A				=							"""src/transformers"""

# Pattern that looks at the indentation in a line.
A				=							re.compile(r"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
A				=							re.compile(r"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
A				=							re.compile(r"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
A				=							re.compile(r"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
A				=							re.compile(r"""\[([^\]]+)\]""")

def        _UpperCamelCase     (      UpperCamelCase				)      ->      Optional[Any]:


			"""simple docstring"""
			__UpperCAmelCase						:			Any												=       _re_indent.search(UpperCamelCase				)
			return "" if search is None else search.groups()[0]

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase=""					,							UpperCamelCase=None					,							UpperCamelCase=None				)      ->      Any:


			"""simple docstring"""
			__UpperCAmelCase						:			List[Any]												=       0
			__UpperCAmelCase						:			Union[str, Any]												=       code.split("\n"				)
			if start_prompt is not None:
						while not lines[index].startswith(UpperCamelCase				):
									index += 1
						__UpperCAmelCase						:			Optional[Any]												=       ["\n".join(lines[:index]				)]
			else:
						__UpperCAmelCase						:			Dict												=       []

			# We split into blocks until we get to the `end_prompt` (or the end of the block).
			__UpperCAmelCase						:			Any												=       [lines[index]]
			index += 1
			while index < len(UpperCamelCase				) and (end_prompt is None or not lines[index].startswith(UpperCamelCase				)):
						if len(lines[index]				) > 0 and get_indent(lines[index]				) == indent_level:
									if len(UpperCamelCase				) > 0 and get_indent(current_block[-1]				).startswith(indent_level + " "				):
												current_block.append(lines[index]				)
												blocks.append("\n".join(UpperCamelCase				)				)
												if index < len(UpperCamelCase				) - 1:
															__UpperCAmelCase						:			Optional[Any]												=       [lines[index + 1]]
															index += 1
												else:
															__UpperCAmelCase						:			Optional[Any]												=       []
									else:
												blocks.append("\n".join(UpperCamelCase				)				)
												__UpperCAmelCase						:			str												=       [lines[index]]
						else:
									current_block.append(lines[index]				)
						index += 1

			# Adds current block if it's nonempty.
			if len(UpperCamelCase				) > 0:
						blocks.append("\n".join(UpperCamelCase				)				)

			# Add final block after end_prompt if provided.
			if end_prompt is not None and index < len(UpperCamelCase				):
						blocks.append("\n".join(lines[index:]				)				)

			return blocks

def        _UpperCamelCase     (      UpperCamelCase				)      ->      Optional[int]:


			"""simple docstring"""

			def _inner(UpperCamelCase				):
						return key(UpperCamelCase				).lower().replace("_"					,							""				)

			return _inner

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase=None				)      ->      Optional[int]:


			"""simple docstring"""

			# If no key is provided, we use a noop.
			def noop(UpperCamelCase				):
						return x

			if key is None:
						__UpperCAmelCase						:			Optional[Any]												=       noop
			# Constants are all uppercase, they go first.
			__UpperCAmelCase						:			Optional[int]												=       [obj for obj in objects if key(UpperCamelCase				).isupper()]
			# Classes are not all uppercase but start with a capital, they go second.
			__UpperCAmelCase						:			Tuple												=       [obj for obj in objects if key(UpperCamelCase				)[0].isupper() and not key(UpperCamelCase				).isupper()]
			# Functions begin with a lowercase, they go last.
			__UpperCAmelCase						:			int												=       [obj for obj in objects if not key(UpperCamelCase				)[0].isupper()]

			__UpperCAmelCase						:			Dict												=       ignore_underscore(UpperCamelCase				)
			return sorted(UpperCamelCase					,							key=UpperCamelCase				) + sorted(UpperCamelCase					,							key=UpperCamelCase				) + sorted(UpperCamelCase					,							key=UpperCamelCase				)

def        _UpperCamelCase     (      UpperCamelCase				)      ->      List[Any]:


			"""simple docstring"""

			# This inner function sort imports between [ ].
			def _replace(UpperCamelCase				):
						__UpperCAmelCase						:			Dict												=       match.groups()[0]
						if "," not in imports:
									return f"[{imports}]"
						__UpperCAmelCase						:			Optional[int]												=       [part.strip().replace("\""					,							""				) for part in imports.split(","				)]
						# We will have a final empty element if the line finished with a comma.
						if len(keys[-1]				) == 0:
									__UpperCAmelCase						:			Dict												=       keys[:-1]
						return "[" + ", ".join([f"\"{k}\"" for k in sort_objects(UpperCamelCase				)]				) + "]"

			__UpperCAmelCase						:			Optional[int]												=       import_statement.split("\n"				)
			if len(UpperCamelCase				) > 3:
						# Here we have to sort internal imports that are on several lines (one per name):
						# key: [
						#     "object1",
						#     "object2",
						#     ...
						# ]

						# We may have to ignore one or two lines on each side.
						__UpperCAmelCase						:			Any												=       2 if lines[1].strip() == "[" else 1
						__UpperCAmelCase						:			Union[str, Any]												=       [(i, _re_strip_line.search(UpperCamelCase				).groups()[0]) for i, line in enumerate(lines[idx:-idx]				)]
						__UpperCAmelCase						:			Dict												=       sort_objects(UpperCamelCase					,							key=lambda UpperCamelCase				: x[1]				)
						__UpperCAmelCase						:			List[str]												=       [lines[x[0] + idx] for x in sorted_indices]
						return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]				)
			elif len(UpperCamelCase				) == 3:
						# Here we have to sort internal imports that are on one separate line:
						# key: [
						#     "object1", "object2", ...
						# ]
						if _re_bracket_content.search(lines[1]				) is not None:
									__UpperCAmelCase						:			Dict												=       _re_bracket_content.sub(_replace					,							lines[1]				)
						else:
									__UpperCAmelCase						:			str												=       [part.strip().replace("\""					,							""				) for part in lines[1].split(","				)]
									# We will have a final empty element if the line finished with a comma.
									if len(keys[-1]				) == 0:
												__UpperCAmelCase						:			str												=       keys[:-1]
									__UpperCAmelCase						:			Optional[Any]												=       get_indent(lines[1]				) + ", ".join([f"\"{k}\"" for k in sort_objects(UpperCamelCase				)]				)
						return "\n".join(UpperCamelCase				)
			else:
						# Finally we have to deal with imports fitting on one line
						__UpperCAmelCase						:			Optional[Any]												=       _re_bracket_content.sub(_replace					,							UpperCamelCase				)
						return import_statement

def        _UpperCamelCase     (      UpperCamelCase					,							UpperCamelCase=True				)      ->      Dict:


			"""simple docstring"""
			with open(UpperCamelCase					,							encoding="utf-8"				) as f:
						__UpperCAmelCase						:			Any												=       f.read()

			if "_import_structure" not in code:
						return

			# Blocks of indent level 0
			__UpperCAmelCase						:			Optional[Any]												=       split_code_in_indented_blocks(
			    UpperCamelCase					,							start_prompt="_import_structure = {"					,							end_prompt="if TYPE_CHECKING:"				)

			# We ignore block 0 (everything untils start_prompt) and the last block (everything after end_prompt).
			for block_idx in range(1					,							len(UpperCamelCase				) - 1				):
						# Check if the block contains some `_import_structure`s thingy to sort.
						__UpperCAmelCase						:			Dict												=       main_blocks[block_idx]
						__UpperCAmelCase						:			str												=       block.split("\n"				)

						# Get to the start of the imports.
						__UpperCAmelCase						:			List[Any]												=       0
						while line_idx < len(UpperCamelCase				) and "_import_structure" not in block_lines[line_idx]:
									# Skip dummy import blocks
									if "import dummy" in block_lines[line_idx]:
												__UpperCAmelCase						:			Optional[int]												=       len(UpperCamelCase				)
									else:
												line_idx += 1
						if line_idx >= len(UpperCamelCase				):
									continue

						# Ignore beginning and last line: they don't contain anything.
						__UpperCAmelCase						:			Any												=       "\n".join(block_lines[line_idx:-1]				)
						__UpperCAmelCase						:			Optional[Any]												=       get_indent(block_lines[1]				)
						# Slit the internal block into blocks of indent level 1.
						__UpperCAmelCase						:			List[str]												=       split_code_in_indented_blocks(UpperCamelCase					,							indent_level=UpperCamelCase				)
						# We have two categories of import key: list or _import_structure[key].append/extend
						__UpperCAmelCase						:			Union[str, Any]												=       _re_direct_key if "_import_structure = {" in block_lines[0] else _re_indirect_key
						# Grab the keys, but there is a trap: some lines are empty or just comments.
						__UpperCAmelCase						:			List[str]												=       [(pattern.search(UpperCamelCase				).groups()[0] if pattern.search(UpperCamelCase				) is not None else None) for b in internal_blocks]
						# We only sort the lines with a key.
						__UpperCAmelCase						:			str												=       [(i, key) for i, key in enumerate(UpperCamelCase				) if key is not None]
						__UpperCAmelCase						:			Optional[int]												=       [x[0] for x in sorted(UpperCamelCase					,							key=lambda UpperCamelCase				: x[1]				)]

						# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
						__UpperCAmelCase						:			Optional[int]												=       0
						__UpperCAmelCase						:			List[str]												=       []
						for i in range(len(UpperCamelCase				)				):
									if keys[i] is None:
												reorderded_blocks.append(internal_blocks[i]				)
									else:
												__UpperCAmelCase						:			str												=       sort_objects_in_import(internal_blocks[sorted_indices[count]]				)
												reorderded_blocks.append(UpperCamelCase				)
												count += 1

        # And we put our main block back together with its first and last line.
						__UpperCAmelCase						:			List[str]												=       "\n".join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]				)

			if code != "\n".join(UpperCamelCase				):
						if check_only:
									return True
						else:
									print(f"Overwriting {file}."				)
									with open(UpperCamelCase					,							"w"					,							encoding="utf-8"				) as f:
												f.write("\n".join(UpperCamelCase				)				)

def        _UpperCamelCase     (      UpperCamelCase=True				)      ->      Any:


			"""simple docstring"""
			__UpperCAmelCase						:			Optional[Any]												=       []
			for root, _, files in os.walk(UpperCamelCase				):
						if "__init__.py" in files:
									__UpperCAmelCase						:			Optional[Any]												=       sort_imports(os.path.join(UpperCamelCase					,							"__init__.py"				)					,							check_only=UpperCamelCase				)
									if result:
												__UpperCAmelCase						:			Tuple												=       [os.path.join(UpperCamelCase					,							"__init__.py"				)]
			if len(UpperCamelCase				) > 0:
						raise ValueError(f"Would overwrite {len(UpperCamelCase				)} files, run `make style`."				)


if __name__ == "__main__":
					A				=							argparse.ArgumentParser()
					parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
					A				=							parser.parse_args()

					sort_imports_in_all_inits(check_only=args.check_only)





import argparse

import torch
from torch import nn

from transformers import MaMaaaConfig, MaMaaaForConditionalGeneration


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			a_						:						Optional[Any] 							= [
			    """encoder.version""",
			    """decoder.version""",
			    """model.encoder.version""",
			    """model.decoder.version""",
			    """decoder.output_projection.weight""",
			    """_float_tensor""",
			    """encoder.embed_positions._float_tensor""",
			    """decoder.embed_positions._float_tensor""",
			]
			for k in ignore_keys:
						state_dict.pop(a__  ,	a__)


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			a_							,					a_						:						List[Any] 							= emb.weight.shape
			a_						:						Dict 							= nn.Linear(a__  ,	a__  ,	bias=a__)
			a_						:						str 							= emb.weight.data
			return lin_layer


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			a_						:						Optional[int] 							= torch.load(a__  ,	map_location="""cpu""")
			a_						:						int 							= mam_aaa["""args"""] or mam_aaa["""cfg"""]["""model"""]
			a_						:						Dict 							= mam_aaa["""model"""]
			remove_ignore_keys_(a__)
			a_						:						List[str] 							= state_dict["""encoder.embed_tokens.weight"""].shape[0]

			a_						:						Union[str, Any] 							= MaMaaaConfig(
			    vocab_size=a__  ,	max_position_embeddings=1_0_2_4  ,	encoder_layers=args.encoder_layers  ,	decoder_layers=args.decoder_layers  ,	encoder_attention_heads=args.encoder_attention_heads  ,	decoder_attention_heads=args.decoder_attention_heads  ,	encoder_ffn_dim=args.encoder_ffn_embed_dim  ,	decoder_ffn_dim=args.decoder_ffn_embed_dim  ,	d_model=args.encoder_embed_dim  ,	encoder_layerdrop=args.encoder_layerdrop  ,	decoder_layerdrop=args.decoder_layerdrop  ,	dropout=args.dropout  ,	attention_dropout=args.attention_dropout  ,	activation_dropout=args.activation_dropout  ,	activation_function="""relu"""  ,	)

			a_						:						Union[str, Any] 							= state_dict["""decoder.embed_tokens.weight"""]
			a_						:						List[Any] 							= MaMaaaForConditionalGeneration(a__)
			model.model.load_state_dict(a__  ,	strict=a__)
			a_						:						Any 							= make_linear_from_emb(model.model.shared)

			return model


if __name__ == "__main__":
	__snake_case				:      Union[str, Any]   		=			argparse.ArgumentParser()
	# Required parameters
	parser.add_argument("""fairseq_path""", type=str, help="""path to a model.pt on local filesystem.""")
	parser.add_argument("""pytorch_dump_folder_path""", default=None, type=str, help="""Path to the output PyTorch model.""")
	__snake_case				:      int   		=			parser.parse_args()
	__snake_case				:      Any   		=			convert_fairseq_mamaaa_checkpoint_from_disk(args.fairseq_pathß)
	model.save_pretrained(args.pytorch_dump_folder_path)


